Characterization of the temporal dynamics and the electrophysiological bases of resting state network

At rest (in the absence of task), the activity of the human brain is not stochastic but spatially and temporally organized in resting state networks (RSNs). Since RSNs discovery, neuroscientists tried to identify their electrophysiological signatures.

This research project aims at bringing news insights into the temporal dynamics as well as the electrophysiological bases of RSNs by using magnetoencephalography (MEG) and high-density electroencephalography (hd-EEG). For that purpose, it will investigate the temporal dynamics of band-limited slow envelope fluctuations that lead to MEG RSNs emergence; the respective contribution of band-limited slow envelope fluctuations versus infraslow fluctuations for the emergence of MEG RSNs across states of consciousness; the link between EEG microstates and MEG RSNs, and the ability of hd-EEG to uncover RSNs such as those observed using MEG.


Xavier De Tiège
Laboratoire de Cartographie fonctionnelle du Cerveau, UNI - ULB Neuroscience Institute
Faculty of Medicine

Created on August 31, 2018